Percona announces the release of Percona Monitoring and Management
1.7.0. (PMM ) is a free and open-source
platform for managing and monitoring MySQL and
MongoDB performance. You can run PMM in your
own environment for maximum security and reliability. It provides
thorough time-based analysis for MySQL and
MongoDB servers to ensure that your data works as
efficiently as possible.

This release features improved support for external services,
which enables a PMM Server to store and display metrics
for any available Prometheus exporter. For example, you
could deploy the postgres_exporter and use PMM’s
external services feature to store PostgreSQL metrics in
PMM. Immediately, you’ll see these new metrics in …

Percona announces the release
of Percona Monitoring and
Management(PMM)1.6.0. In this
release, Percona Monitoring and Management Grafana metrics are
available in the Advanced Data Exploration dashboard.
We’ve improved the integration with MyRocks, and
its data is now collected from SHOW GLOBAL STATUS.

The MongoDB Exporter now features two new metrics:
mongodb_up to inform if the MongoDB
Server is running and
mongodb_scrape_errors_total reporting the total
number of errors when scaping MongoDB.

In this release, we’ve greatly improved the performance of the
mongodb:metrics monitoring service.

Percona announces the release of Percona Monitoring and
Management 1.5.3. This release contains fixes for
bugs found after the release of Percona Monitoring and
Management1.5.2, as well as some important
fixes and improvements not related to the previous release.

Improvements

PMM-1874: The read timeout of the proxy server
(/prometheus) has been increased from the default of 60 seconds
to avoid nxginx gateway timeout error when loading data-rich
dashboards.

In this post, we’ll examine how we’ve improved the GUI layout for
Percona Monitoring and Management 1.5 by moving the Query
Analytics (QAN) functions into the Grafana interface.

For Percona Monitoring and Management users, you might notice
that QAN appears a little differently in our 1.5 release. We’ve
taken steps to unify the PMM interface so that it feels more
natural to move from reviewing historical trends in Metrics
Monitor to examining slow queries in QAN. Most
significantly:

QAN moves from a stand-alone application into Metrics Monitor
as a dashboard application

We updated the color scheme of QAN to match Metrics Monitor
(but you can toggle a button if you prefer to still see QAN in
white!)

Date picker and host selector now use the same methods as
Metrics Monitor

Welcome to another post in our series of
interview blogs for the upcoming Percona Live
Europe 2017 in Dublin. This series highlights a number of
talks that will be at the conference and gives a short preview of
what attendees can expect to learn from the presenter.

This blog post is with Daniel Lee, a software developer at
Grafana. His
tutorial is Visualize Your Data With Grafana. This
presentation teaches you how to create dashboards and graphs in
Grafana and how to use them to gain insight into the behavior of
your systems. In our conversation, we discussed how data
visualization could benefit your database …

This blog post contains step-by-step instructions for setting up
alerting in Percona Monitoring and Management (PMM) using
Grafana.

As a Solutions Engineer at Percona, I get to speak with a lot of
the early adopters of Percona’s new PMM software. One of the
frequent feature requests from them was the need for alerts at
certain MySQL and MongoDB thresholds. Percona’s philosophy on
alerting is that we don’t want to reinvent the wheel. We
integrated Consul, Grafana and Prometheus into PMM because they
are fantastic, free and open-source products. PMM packages them
together in an easy to deploy and maintain format.

With the release of Grafana 4.0 came Alerting! The
Grafana team excitedly shared this feature with its users
(including Percona). Percona quickly followed suit by …

This post explains how you can quickly start
using such trending tools as Prometheus and
Grafana for monitoring and graphing of MySQL and
system performance.

I will try to keep this blog as short as possible, so you can
quickly set things up before getting bored. I plan to cover the
details in the next few posts. I am going to go through the
installation process here in order to get some really useful and
good-looking graphs in the end.

Overview

Prometheus is
an open-source service monitoring system and time series
database. In short, the quite efficient daemon scrapes metrics
from remote machines using HTTP protocol and stores data in the
local time-series database. Prometheus provides a simple web …

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